Comparing Approaches to Data Governance

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Copyright © 2017 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com
Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
#RWDG @RSeiner
Real World Data Governance
Comparing Approaches to Data Governance
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
June 15, 2017 – 2:00 p.m. EST

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Real-World Data Governance
Current Events

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• I will discuss:
– Three distinct approaches to implement Data Governance
– Five core components to Data Governance success
– Assessing each approach by each core component
– Why the selection of approach is so important
– How to determine the best approach for your organization
Agenda for Today’s Webinar

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#RWDG @RSeiner
• Data Governance
– Data Governance is the Execution and Enforcement of Authority
Over the Management of Data and Data-Related Resources.
• Data Stewardship
– Data Stewardship is the Formalization of Accountability
Over the Management of Data and Data-Related Resources.
Definitions

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Steps to Make Comparison
• Method to Complete Comparison
A. Share Data Governance Framework
B. Define Organizational Levels
C. Define Distinct Approaches
D. Understanding the Core Components
E. Comparing Components by Approach

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A New NIDG Framework
The Framework
A New NIDG Framework
The Framework
NON-INVASIVE DATA GOVERNANCE™ FRAMEWORK
Endorse
Processes
Resolution
Processes
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Domain
Processes
Daily
Processes
Enforce
Processes
Metric
Approval
Act
Metric
Acceptance
Domain
Metrics
Daily
Measurements
Collect
Report
Metrics
Policy
Directive
Best Practice
Guidelines
Standards
Requirements
Workflow
Glossary
Dictionary
Metadata
KIK Artifacts
(Common Data
Activity Matrices)
Support
Sponsor
Understand
Meetings
Status
Subject
Project
Orientation
On Boarding
Ongoing
Plan
Develop
Deliver
Steering
Committee
(Delegate)
Council
(Decision)
Domain
Stewards
Owners
(Subject)
Data
Stewards
(Daily)
DG Lead
Work Groups
Partners
(Function)
Copyright © 2017 – Robert S. Seiner and KIK Consulting & Educational Services, LLC
LEVEL
EXECUTIVE – SENIOR LEADERSHIP TEAM
STRATEGIC – BUSINESS & TECHNOLOGY
TACTICAL – SUBJECT MATTER EXPERTISE
OPERATIONAL – DAILY JOB FUNCTION
SUPPORT – FUNCTIONAL MANAGEMENT
LEVELS
EXECUTIVE – SENIOR LEADERSHIP TEAM
STRATEGIC – BUSINESS & TECHNOLOGY MGMT
TACTICAL – SUBJECT MATTER EXPERTISE
OPERATIONAL – DAILY JOB FUNCTION
SUPPORT – FUNCTIONAL MANAGEMENT
COMPONENTS
ROLES (AUTHORITY) – FORMAL RESPONSIBILITY
PROCESSES – APPLICATION and ENFORCEMENT
COMMUNICATIONS – EDUC, TRN, AWARENESS
METRICS – MEASUREMENTS and KPIs
TOOLS – ARTIFACTS PURCHASED & DEVELOPED
Levels
Components
ROLES(AUTHORITY)
COMMUNICATIONS
TOOLS
METRICS
PROCESSES

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• Command-and-Control Approach
• Traditional Approach
• Non-Invasive Approach
Approaches

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• Roles (Authority)
• Processes
• Communications
• Metrics
• Tools
Components

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Five Core Components

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• Three Distinct Approaches to Determine – Who Are Your Data Stewards:
1. Command and Control Approach – Assign People as Data Stewards
2. Traditional Approach – Identify People as Data Stewards
3. Non-Invasive Approach – Recognize People as Data Stewards
Three Distinct Approaches

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• Command and Control Approach
– Assign people to be Data Stewards
– Typical assignments are as Data Owners
– Select Number of People
– Told “You will do this.”
– Most invasive approach to stewardship.

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• Questions about the Command and Control Approach
– How will people accept being assigned as Data Stewards?
– How will you define the role of the Data Owner?
– Will we cover the entire organization with a select number of people?
– How will people respond to being told “You will do this”?
– Do we consider this approach to be “over and above”?

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• Traditional Approach
– Identify people to be Data Stewards
– Typical stewards are identified as Data Owners
– Still a Select Number of People
– Told “You need to do this.”
– Less invasive approach to stewardship / still invasive.

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• Questions about the Traditional Approach
– How will people accept being identified as Data Stewards?
– How will you define the role of the Data Owner?
– Will we cover the entire organization with a select number of people?
– How will people respond to being told “You need to do this”?
– Is this approach still “over and above”?

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• Non-Invasive Approach
– Recognize people to be Data Stewards
– Typical stewards are recognized by their relationship to data.
– Everybody is a Data Steward / Complete Organizational Coverage
– Told “You are already doing this.”
– Least invasive approach to stewardship / non-invasive.

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• Questions about the Non-Invasive Approach
– How will people accept being recognized as Data Stewards?
– How will you define the role of the Steward, Domain Steward?
– Will we cover the entire organization by following this approach?
– How will people respond to being told “You are already doing this”?
– Is this approach suited to fit the culture of your organization?

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• Processes
• Communications
• Metrics
• Tools

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• Components
– Roles (Authority)
• The first foundational component of a successful Data Governance program is
the definition of roles and responsibilities.
• The manner in which roles are defined is a predictor of the effort required to
govern the data.
• Roles are represented through an Operating Model of Roles & Responsibilities.
• The pyramid diagram is represented in the first column of the Framework.
• The Operating Model includes a detailed description of formalized
responsibilities, escalation and decision paths, how roles are formally engaged
in processes, and communications that are shared with each level.

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• Components
– Processes
• The second foundational component of a successful program is the way the
Roles are applied to processes.
• The notion of the “Data Governance process” misrepresents the fact that
processes are a primary component of Data Governance success.
• There is not a single process that is governed, rather there are a series of
processes to which Data Governance will be applied.
• Data Governance programs typically provide repeatable processes that reflect
the appropriate level of formal accountability throughout the process.
• Data Governance focuses on getting the “right” person involved in the “right”
step of the process to deliver the “right” result regardless of the process focus
– issue resolution, protection, quality, project-focused;
• Data Governance becomes the application of formal governance to process.

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• Components
– Communications
• Communication is an important component of successful DG programs.
• Raising the data awareness of every person that defines, produces, and uses
data is critical to achieving program success.
• Education must focus on policies, handling rules, best practices, standards,
processes, and role-based governance activities.
• Communications play a role in every aspect of program definition and delivery.
• Communications must be thorough and measurable.
• Communications must focus on formalizing accountability for the processes
mentioned above: issue resolution, protection, quality, project-focused, or any
other application of authority to how data is managed.

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• Components
– Metrics
• DG programs must be able to measure their impact on the organization.
• This is the responsibility of the Support role often called the Data Governance
Lead and Team.
• The impact and value may be financially quantifiable, but this may not always
be the case.
• Measuring efficiency and effectiveness improvements require benchmarks of
present state and the governed activity of measuring and reporting results.
• Organizations measure improvements in governance through collecting and
reporting the number of issues recorded and addressed
• These organization also quantifying the value of issue resolution, quantifying
education, awareness and certification of handling rules and incidents that are
formally addressed.

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• Components
– Tools
• Tools of DG enable the program to deliver value to the organization.
• Organizations use tools they develop internally as well as tools that they’ve
purchased to fill specific needs of their programs.
• The tools that are developed or purchased are based on practicality, ease-of-
use, and the specific goals of the Data Governance program.
• Tools are used to formalize accountability for the management of data and
improve the knowledge of the data, rules, processes required to govern data.
• Tools are used to record and make available metadata in order to improve the
understanding and quality of data across the Enterprise.

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Framework Comparison

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– Command-and-Control Approach
• People are assigned new roles
• People are given new levels of authority
– Traditional Approach
• People are told they also have a new role
• People are given new levels of authority
– Non-Invasive Approach
• People are recognized for their relationship to the data
• People levels of authority are formalized
Approach by Component

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• Processes
• New Processes
• All Processes will be Governed
• Single Data Governance Process
• The Data Governance Process
• Governance Applied to Process
• Appropriate Processes are Governed

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• Communications
• Governance is Mandatory
• You will do this.
• Governance is Important
• You should do this.
• Governance based on Data Relations.
• You already do this.

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• Metrics
• Measure Value of Governing Data
• Terms of ROI
• Measure Data Itself
• Terms of Data Discipline
• Measure Advancements
• Terms of Awareness / Following Rules

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• Tools
• Purchase Tool First
• Tool a Large Part of Solution
• Leverage Existing Tools First
• Tool Drives the Solution
• Leverage and Build Toolkit
• Tool Enables Solution

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• Command-and-Control Approach to Data Governance
– Very Authoritative
– People have to follow the approach.
– Strictly a Top Down Approach
– All About Control of the Data
Selecting the Best Approach

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• Traditional Approach to Data Governance
– Program is Well Defined and Sold to Management
– Council is Set Up to Provide Strategic Directive
– Roles are Clearly Defined
– People Respond Based on the Value They Receive

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• Non-Invasive Approach to Data Governance
– Less Reason for Stewards to Push Back
– Hard for Leadership to Reject
– Stewardship Based on Relationships to Data
– Complete Coverage Across Organization
– Changes Peoples View of How Data Governance Can Be Applied

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#RWDG @RSeiner
• In this webinar I discussed:
– Three distinct approaches to implement Data Governance
– Five core components to Data Governance success
– Assessing each approach by each core component
– Why the selection of approach is so important
– How to determine the best approach for your organization
Summary

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• Questions and Answers
Summary

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• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
Post Office Box 112571, Upper St. Clair, Pennsylvania 15241
412.220.9643, 412.220.9644 (Fax)
rseiner@kikconsulting.com
rseiner@tdan.com
@RSeiner @TDAN_com
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Comparing Approaches to Data Governance

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